International Journal of Hybrid Intelligent Systems
ISSN: 1448-5869
Volume 8; 4 issues
Institutional subscription (print and online) for 2011: €348 / US$460 (including postage and handling)
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Status Report: Last issue (volume 8:2) online on 10 May 2011
Next issue (volume 8:3) scheduled for August 2011

Aims and Scope
Editorial Board
Submission of Manuscripts
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Ajith Abraham
School of Computer Science and Engineering
Chung-Ang University
410, 2nd Engineering Building
221, Heukseok-dong, Dongjak-gu
Seoul 156-756
South Korea

Lakhmi C. Jain
Knowledge-Based Intelligent Engineering Systems Centre
University of South Australia
Mawson Lakes Campus
Adelaide, SA 5095

Vasile Palade
Computer Laboratory
Oxford University
Wolfson Building
Parks Road
Oxford OX1 3QD
United Kingdom

Associate Editors
Gail A. Carpenter
Boston University

Walter D. Potter
University of Georgia

Ishwar K. Sethi
Oakland University

Ron Sun
Rensselae Polytechnic Institute

Toshio Fukuda
Nagoya University

Mario Koeppen
Kyushu Institute of Technology

Tamas Gedeon
Murdoch University

Kate Smith
Deakin University

Nikola Kasabov
Auckland University of Technology
New Zealand

Robert J. Howlett
University of Brighton
United Kingdom

Janusz Kacprzyk
Polish Academy of Sciences

Stefan Wermter
University of Hamburg

Xin Yao
University of Birmingham
United Kingdom

Industrial Theme/Track Editor
Antony Satyadas
IBM Corporation

Book Review Editor
Clarence W. De Silva
University of British Columbia

Editorial Board
B. Apolloni, University of Milano, Italy D. Neagu, University of Bradford, UK
J.M. Benitez Sanchez, University of Granada, Spain M. Negoita, Wellington Institute of Technology, New Zealand
S.B. Cho, Yonsei University, Korea N.R. Pal, Indian Statistical Institute, India
I. Cloete, International University in Germany, Germany G. Palm, University of Ulm, Germany
D. Corne, University of Exeter, UK P.J.S. Pan, National Kaohsiung Uni. of Applied Sciences, Taiwan
A. D'Avila Garcez, City University London, UK W. Pedrycz, University of Alberta, Canada
A. De Carvalho, University of São Paulo, Brazil N. Petkov, University of Groningen, The Netherlands
S. Franklin, University of Memphis, USA V. Piuri, University of Milan, Italy
B. Gabrys, University of Bournemouth, UK G. Resconi, Catholic University, Brescia, Italy
J.Q. Gan, University of Essex, UK R. Roy, Cranfield University, UK
C. Ghaoui, Liverpool John Moores University, UK G. Ruhe, University of Calgary, Canada
J. Grzymala-Busse, University of Kansas, USA K.M. Sim, Institute of Information Sciences, Academia Sinica, Taiwan
R.F. Harrison, University of Sheffield, UK M.R. Stytz, Air Force Research Laboratory, USA
I. Hatzilygeroudis, University of Patras, Greece H. Takagi, Kyushu University, Japan
F. Herrera, University of Granada, Spain G. Tecuci, George Mason University, USA
H. Ishibuchi, Osaka Prefecture University, Japan B. Verma, Central Queensland University, Australia
Y. Ishida, Toyohashi University of Technology, Japan A. Wani, Central Queensland University at Bakersfield, USA
M. Karny, Acadamy of Sciences of Czech Repuplic, Czech Republic R. Weber, University of Chile, Chile
A. Kelemen, University of Buffalo, USA B.M. Wilamowski, Auburn University, USA
A. Koenig, University of Kaiserslautern, Germany N. Xiong, Malardalen University, Sweden
V. Loia, University of Salerno, Italy R.R. Yager, Iona College, USA
T.B. Ludermir, Federal University of Pernambuco, Brazil K. Yoshida, Kyushu Institute of Technology, Japan
V. Maojo, Polytechnical University of Madrid, Spain 

Submission of Manuscripts 
See instructions to authors.
Aims and Scope 
Hybridization of intelligent systems is a promising research field of modern Artificial Intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined and integrated approaches will be necessary if the remaining tough problems in artificial intelligence are to be solved. Recently, hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality.

The International Journal of Hybrid Intelligent Systems (IJHIS) is a peer refereed journal on the theory and applications of hybrid and integrated intelligent systems. The key objective of IJHIS is to provide the academic community with a medium for presenting original research and applications related to the simultaneous use of two or more intelligent techniques. Rather than publishing papers in one particular area of expertise, the journal aims to be the main forum for publishing papers that involve the use of two or more intelligent techniques and approaches, such as neural networks, traditional knowledge-based methods, fuzzy techniques, genetic algorithms, agent-based techniques, case based reasoning, etc. The combination or integration of more distinct methodologies can be done in any form, either by a modular integration of two or more intelligent methodologies, which maintains the identity of each methodology, or by fusing one methodology into another, or by transforming the knowledge representation in one methodology into another form of representation, characteristic to another methodology.

The IJHIS invites authors to submit their original and unpublished work that communicates current research on hybrid and integrated intelligent systems, regarding both the theoretical and methodological aspects, as well as various applications of hybrid and integrated intelligent approaches to many real-world problems from science, technology, business or commerce.
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